As smart parking gates, unattended outdoor terminals and AMRs upgrade to high-bandwidth computer vision, deploying heavy localized AI inference within rigid space and battery budgets becomes a critical challenge. Even traditional industrial PCs are often too bulky to be embedded flexibly, while standard commercial alternatives with cooling fans rapidly fail in unventilated compartments or outdoor settings due to dust, moisture, and mechanical wear.
To resolve this, DFI introduces the EB100-MTU. Powered by Intel® Core™ Ultra processors with a highly efficient 12W TDP, this industrial NUC leverages a dedicated NPU to deliver high-performance Edge AI intelligence in an ultra-compact, fanless footprint. Engineered for the edge, the fanless EB100-MTU thrives from -20˚C to 50˚C with "set-and-forget" reliability. It ensures 24/7 uptime in the most demanding environments, drastically reducing your TCO by eliminating maintenance overhead and costly system downtime.
Explore the Technical Specifications:
Built to Integrate: Solving the Real Hardware Challenges of Embedded Edge Deployment
1. Overcoming Spatial Constraints
Space-constrained but performance-demanding? Legacy computing designs often face thermal limitations in confined spaces, as they typically rely on active airflow to maintain stability for high-TDP processors. The EB100-MTU addresses this challenge by leveraging an ultra-compact 111 x 50 x 106 mm footprint to house high-performance computing density at a low 12W CPU TDP. This allows you to integrate full-scale processing power into your AMR or kiosk chassis without needing to expand your physical footprint or overhaul your existing thermal management strategy.
2. 24/7 Fanless Reliability
Is dust or heat compromising your uptime? Active cooling is a liability in sealed environments: fans draw in particulates and inevitably fail, leading to thermal throttling and system crashes. The EB100-MTU features a fully fanless, conduction-cooled thermal architecture that sustains optimal performance across a -20°C to 50°C wide-temperature range. By eliminating mechanical fans, you effectively remove the primary point of failure, ensuring consistent 24/7 reliability for long-term deployments.
3. Low Latency Communication
Sensor latency causing navigation or timing errors? In edge platforms, data congestion often leads to critical lag between sensor perception and actuator response. The EB100-MTU eliminates this bottleneck by pairing dual 2.5GbE TSN/TCC LAN ports with highly resilient industrial RS232/422/485 serial interfaces. This hardware-level traffic prioritization allows you to secure real-time control loops, guaranteeing deterministic transmission even while processing heavy data feeds like multi-camera AI streams.
4. The Modular Scalability of EB100-MTU
Are you concerned that current mechanical constraints will limit your ability to scale AI workloads in the future? The EB100-MTU provides the architectural flexibility you need. Featuring an internal expansion slot for optional M.2 E-key AI accelerator modules—including Hailo and other industry-leading modules—this design lets you add localized inference power whenever your application demands it, without a system overhaul.
